top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.]
An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2023
Descrizione fisica xv, 60 p. : ill. ; 24 cm
Soggetto non controllato Data Mining
Inference
Python
Python software
Statistical learning
Supervised learning
Unsupervsied learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0278708
Cham, : Springer, 2023
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
Autore Haslwanter, Thomas
Edizione [2. ed]
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xvi, 336 p. : ill. ; 24 cm
Soggetto non controllato Alternative to R
Applications in the life sciences
Bayesian Statistics
Data Visualization
Data analysis
Generalized Linear Models
Hypothesis tests
Introductory Statistics
Patterns in data
Programming tools
Python
Python source code
Regression
Statistical Methods
Statistical Modelling
Statistical tests
Survival times
Time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0276849
Haslwanter, Thomas  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
Autore Haslwanter, Thomas
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica XVII, 278 p. : ill. ; 24 cm
Soggetto topico 92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
92B15 - General Biostatistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020]
62H15 - Hypothesis testing in multivariate analysis [MSC 2020]
62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020]
62N02 - Estimation in survival analysis and censored data [MSC 2020]
62N03 - Testing in survival analysis and censored data [MSC 2020]
68T09 - Computational aspects of data analysis and big data [MSC 2020]
Soggetto non controllato Alternative to R
Applications in life sciences
Data analysis
Introductory Statistics
Programming
Python
Python source code
Statistical Methods
Statistical tests
Statistics and computing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114408
Haslwanter, Thomas  
[Cham], : Springer, 2016
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina
Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina
Autore Huang, Changquan
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica x, 372 p. : ill. ; 24 cm
Altri autori (Persone) Petukhina, Alla
Soggetto non controllato Artificial Intelligence
Big data analysis
Data Visualization
Data science
Financial Time Series
Forecasting
Machine Learning for Time Series
Markov switching models
Multivariate time series
Nonstationary Time Series
Python
State-space models
Stationary Time Series
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0276890
Huang, Changquan  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Bayesian Statistical Modeling with Stan, R, and Python / Kentaro Matsuura
Bayesian Statistical Modeling with Stan, R, and Python / Kentaro Matsuura
Autore Matsuura, Kentaro
Pubbl/distr/stampa Singapore, : Springer, 2022
Descrizione fisica xix, 385 p. : ill. ; 24 cm
Soggetto non controllato Bayesian Modeling
Python
Stan
Statistical modeling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0278348
Matsuura, Kentaro  
Singapore, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
Computational Frameworks for Political and Social Research with Python / Josh Cutler, Matt Dickenson
Autore Cutler, Josh
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xv, 209 p. : ill. ; 24 cm
Altri autori (Persone) Dickenson, Matt
Soggetto topico 62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
Soggetto non controllato Application programming
Computer vision
Data Collection
Data structures
Databases
Natural Language Processing
Political analysis
Programming
Python
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248837
Cutler, Josh  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Entropy in Image Analysis II
Entropy in Image Analysis II
Autore Sparavigna Amelia Carolina
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (394 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato image binarization
optical character recognition
local entropy filter
thresholding
image preprocessing
image entropy
image encryption
medical color images
RGB
chaotic system
crowd behavior analysis
salient crowd motion detection
repulsive force
direction entropy
node strength
Pompe disease
children
quantitative muscle ultrasound
texture-feature parametric imaging
compound chaotic system
S-box
image information entropy
image chaotic encryption
cryptography
Latin cube
bit cube
chosen plaintext attack
atmosphere background
engine flame
infrared radiation
detectability
image quality evaluation
image retrieval
pooling method
convolutional neural network
feature distribution entropy
lossless compression
pattern classification
machine learning
malaria infection
entropy
Golomb–Rice codes
image processing
image segmentation
weld segmentation
weld evaluation
convolution neural network
Python
Keras
RSNNS
MXNet
brain-computer interface (BCI)
electroencephalography (EEG)
motor imagery (MI)
continuous wavelet transform (CWT)
convolutional neural network (CNN)
hyperchaotic system
filtering
DNA computing
diffusion
deep neural network
data expansion
blind image quality assessment
saliency and distortion
human visual system
declining quality
data hiding
AMBTC
steganography
stego image
dictionary-based coding
pixel value adjusting
neuroaesthetics
symmetry
balance
complexity
chiaroscuro
normalized entropy
renaissance
portrait paintings
art history
art statistics
chaotic systems
DNA coding
security analysis
magnetic resonance images
non-maximum suppression
object detection
key-point detection
IoU
feature fusion
quasi-resonant Rossby/drift wave triads
Mordell elliptic curve
pseudo-random numbers
substitution box
nuclear spin generator
medical image
peak signal-to-noise ratio
key space calculation
Duchenne muscular dystrophy
ultrasound
backscattered signals
medical imaging
neural engineering
computer vision
crowd motion detection
security
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557433403321
Sparavigna Amelia Carolina  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Finite Difference Computing with PDEs : A Modern Software Approach / Hans Petter Langtangen, Svein Linge
Finite Difference Computing with PDEs : A Modern Software Approach / Hans Petter Langtangen, Svein Linge
Autore Langtangen, Hans P.
Pubbl/distr/stampa Cham, : SpringerOpen, 2017
Descrizione fisica xxiii, 499 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
35-XX - Partial differential equations [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020]
Soggetto non controllato Differential equations
Finite-difference methods
Numerical methods
Open Access
Programming
Python
Verification
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123901
Langtangen, Hans P.  
Cham, : SpringerOpen, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduction to Numerical Methods for Variational Problems / Hans Petter Langtangen, Kent-Andre Mardal
Introduction to Numerical Methods for Variational Problems / Hans Petter Langtangen, Kent-Andre Mardal
Autore Langtangen, Hans P.
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xvi, 386 p. : ill. ; 24 cm
Altri autori (Persone) Mardal, Kent-André
Soggetto topico 65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020]
35R10 - Functional partial differential equations [MSC 2020]
74Sxx - Numerical and other methods in solid mechanics [MSC 2020]
68N01 - General topics in the theory of software [MSC 2020]
Soggetto non controllato Computational modeling
Finite element methods
Python
Scientific Computing
Scripting
Variational methods
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126933
Langtangen, Hans P.  
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduction to Scientific Programming with Python / Joakim Sundnes
Introduction to Scientific Programming with Python / Joakim Sundnes
Autore Sundnes, Joakim
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xiv, 148 p. : ill. ; 24 cm
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020]
68N15 - Theory of programming languages [MSC 2020]
Soggetto non controllato Computational science
Data science
Object-oriented programming
Programming
Python
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249367
Sundnes, Joakim  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui